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Napier AI

Solution Architect

Napier AI is hiring a Solution Architect in London, United Kingdom. Level rates it ; you can apply on Napier AI.

Level's read on this job

  • Works on AI ●●●○ is how Level rates this solutions architect role: the daily work is on AI products, without building the model.
  • The posting mentions Nifi, API Gateway and Kafka among its tools and skills.
  • Level classes it as a senior role.
  • Napier AI has 3 other open roles on Level.

AI in this role

Architect and deliver AI-powered financial crime prevention solutions, acting as the technical bridge between clients, sales, and delivery.

NifiAPI GatewayKafkaKubernetes
Imagine catching criminals before they strike - that’s exactly what Napier’s AI-powered platform does! By analysing transactions and customers in real time, Napier AI’s technology empowers financial institutions to spot suspicious activity, like money laundering, and stops it in its tracks. Napier AI’s technology works like a digital detective, combining AI with smart analytics to outthink criminals and protect people’s money from becoming criminal proceeds. It’s not just about stopping crime - it’s about making the financial world safer and more trustworthy for everyone. Collaboration, innovation and wonderful people are just some of the reasons to bring your career to Napier. Our culture is shaped by our core values that promote equality, creativity, and opportunity in everything we do. Overview of the role:
As a Solution Architect, you will act as the technical bridge between clients, Sales, and delivery - while sitting primarily within Professional Services. The core purpose of the role is to reduce delivery risk by owning solution design and architecture from discovery through implementation, ensuring robust, scalable, secure, and supportable outcomes. You will partner closely with Sales to validate feasibility, de-risk deals, and shape realistic commitments, then remain accountable for architectural integrity once the deal is signed. This is a hands-on, client-facing, revenue-generating role requiring both technical depth and commercial pragmatism.

Your day to day: Solution Architect

Client Solutioning:
  • Rapidly understand client environments, data flows, and business needs. Tailor solution designs and communications to diverse technical and business audiences.
Integration Leadership:
  • Architect and document end-to-end solutions, focusing on data integration, transformation, and orchestration using modern tools (e.g., NiFi, API gateways, Kafka, Kubernetes), integration patterns for asynchronous, event driven systems.
Technical Pre-sales (Discovery & De-risking):
  • Partner with Sales during technical discovery to validate feasibility, surface constraints and dependencies, and shape pragmatic solution approaches. Support sales cycles with solution recommendations, responses to technical queries, and contributions to RFPs/RFIs. Lead targeted proof of concepts where needed to validate assumptions and de-risk integrations.
Deliery Architecture Ownership:
  • Own the end-to-end solution design and architecture through implementation once a deal is signed. Provide architectural governance across build, configuration, integration, and deployment; review designs and changes; and ensure delivery teams have clear blueprints, standards, and decision logs to reduce complexity, timelines, and risk.
Standardisation & Reuse:
  • Drive standard patterns, reference architectures, and repeatable integration approaches to reduce bespoke delivery over time. Identify opportunities to simplify implementations, improve margins, and feed recurring delivery learnings into pre-sales discovery and product/service improvements.
Data & Architecture:
  • Specify and map data flows, formats (JSON, XML, CSV, graph), and transports (HTTP, S/FTP, Kafka, MQ). Address challenges of async/sync and streaming communications, including idempotency, retries, rate limiting, error handling, and timeouts
Security & Compliance:
  • Confidently explain the platform’s information security controls and data protection measures to clients, translating concepts such as encryption, access control, and regulatory compliance into clear, business‑friendly language. Apply information security principles (confidentiality, integrity, availability) and ensure solutions meet regulatory requirements (e.g., GDPR).
Documentation & Enablement:
  • Produce clear technical documentation and mentor internal teams.

Do you have what it takes?

Essential:
  • Experience in financial crime, compliance, or AML domains.
  • Strong background in enterprise software, cloud infrastructure (AWS/Azure/GCP), and secure deployment.
  • Broad experience of business, data, software and technology architecture and the inter-relationships.
  • Expertise in API-based integration, ETL, data transformation, and orchestration technologies (NiFi, Kafka, API gateways, Kubernetes).
  • Understanding of data representation formats and transport protocols.
  • Familiarity with information security best practices and secure data transfer (encryption, key management).
  • Excellent communication and stakeholder management skills; able to establish credibility with client architecture teams.
  • Ability to work independently, manage multiple priorities, and perform under pressure.
Desirable:
  • Experience with large data sets, distributed systems, and performance testing.
  • Knowledge of SSO/OIDC/SAML/SCIM and identity providers.
  • Hands-on with Elasticsearch, TimeSeries DB, or similar.
  • Experience with SaaS platforms in regulated industries.

How we rate this

Solution Architect at Napier AI rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

NifiAPI GatewayKafkaKubernetes

Also common in solutions architect jobs at this level

Pay

Typical solutions architect job
$169k

This posting doesn't list pay. Use the typical solutions architect figure when pay comes up. See solutions architect jobs

Questions you could be asked

  1. What's a project where you used Nifi hands-on?
  2. Walk me through how you've used API Gateway in your day-to-day work.
  3. What are the limits of Kafka that you've run into, and how did you work around them?
  4. What's a project where you used Kubernetes hands-on?
  5. Describe a typical day in a role like this one: which parts run through AI directly?

Adapt your resume

  • List these exact terms on your resume: Nifi, API Gateway, Kafka, and Kubernetes. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

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